jieba库
作者:互联网
jieba库
概述
jieba是优秀的中文分词第三库
安装
pip install jieba
三种模式
精确模式:把文本精确的切分开,不存在冗余单词
全模式:把文本中所有可能的词语都扫描出来,有冗余
搜索引擎模式:在精确模式基础上,对长词再次切分
函数 | 描述 |
jieba.lcut(s) |
精确模式,返回一个列表类型的分词结果 jieba.lcut("中国是一个伟大的国家") |
jieba.lcut(s,cut_all=True) |
全模式,返回一个列表类型的分词结果,存在冗余 jieba.lcut("中国是一个伟大的国家",cut_all=True) |
jieba.lcut_for_search(s) |
搜索引擎模式,返回一个列表类型的分词结果,存在冗余 jieba.lcut_for_search("中华人民共和国是伟大的") |
jieba.add_word(w) |
向分词词典增加新词w jieba.add_word("蟒蛇语言") |
实例
#CalHamletV1.py def getText(): txt = open("hamlet.txt", "r").read() txt = txt.lower() for ch in '!"#$%&()*+,-./:;<=>?@[\\]^_‘{|}~': txt = txt.replace(ch, " ") #将文本中特殊字符替换为空格 return txt hamletTxt = getText() words = hamletTxt.split() counts = {} for word in words: counts[word] = counts.get(word,0) + 1 items = list(counts.items()) items.sort(key=lambda x:x[1], reverse=True) for i in range(10): word, count = items[i] print ("{0:<10}{1:>5}".format(word, count))Hamlet词频统计
#CalThreeKingdomsV1.py import jieba txt = open("threekingdoms.txt", "r", encoding='utf-8').read() words = jieba.lcut(txt) counts = {} for word in words: if len(word) == 1: continue else: counts[word] = counts.get(word,0) + 1 items = list(counts.items()) items.sort(key=lambda x:x[1], reverse=True) for i in range(15): word, count = items[i] print ("{0:<10}{1:>5}".format(word, count))《三国演义》人物出场统计(上)
#CalThreeKingdomsV2.py import jieba excludes = {"将军","却说","荆州","二人","不可","不能","如此"} txt = open("threekingdoms.txt", "r", encoding='utf-8').read() words = jieba.lcut(txt) counts = {} for word in words: if len(word) == 1: continue elif word == "诸葛亮" or word == "孔明曰": rword = "孔明" elif word == "关公" or word == "云长": rword = "关羽" elif word == "玄德" or word == "玄德曰": rword = "刘备" elif word == "孟德" or word == "丞相": rword = "曹操" else: rword = word counts[rword] = counts.get(rword,0) + 1 for word in excludes: del counts[word] items = list(counts.items()) items.sort(key=lambda x:x[1], reverse=True) for i in range(10): word, count = items[i] print ("{0:<10}{1:>5}".format(word, count))《三国演义》人物出场统计(下)
标签:jieba,word,items,lcut,counts,txt 来源: https://www.cnblogs.com/mojiunian/p/15924293.html